Triple

T20196552
Position Surface form Disambiguated ID Type / Status
Subject Slappy E493099 entity
Predicate hasPart P35 FINISHED
Object Paper Lanterns
Paper Lanterns is a song by the American rock band Green Day, known for its early pop-punk sound and energetic live performances.
 E1416507 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paper Lanterns | Statement: [Slappy, hasPart, Paper Lanterns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paper Lanterns
Context triple: [Slappy, hasPart, Paper Lanterns]
  • A. Lanterns
    "Lanterns" is a track featured on the album *The Black Market* by the American rock band Rise Against.
  • B. Stone Lanterns
    Stone Lanterns are traditional carved stone light fixtures commonly found in Korean Buddhist temples and gardens, serving both decorative and symbolic religious purposes.
  • C. The Lantern
    The Lantern is a track by the Rolling Stones from their 1967 psychedelic rock album "Their Satanic Majesties Request."
  • D. The Lamp Boy
    The Lamp Boy is a painting by Belgian expressionist James Ensor, reflecting his characteristic use of vivid color and eerie, introspective atmosphere.
  • E. Lanterns on the Lake
    Lanterns on the Lake is a British indie rock band known for its atmospheric, cinematic soundscapes and emotionally charged songwriting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paper Lanterns
Triple: [Slappy, hasPart, Paper Lanterns]
Generated description
Paper Lanterns is a song by the American rock band Green Day, known for its early pop-punk sound and energetic live performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paper Lanterns
Target entity description: Paper Lanterns is a song by the American rock band Green Day, known for its early pop-punk sound and energetic live performances.
  • A. Lanterns
    "Lanterns" is a track featured on the album *The Black Market* by the American rock band Rise Against.
  • B. Stone Lanterns
    Stone Lanterns are traditional carved stone light fixtures commonly found in Korean Buddhist temples and gardens, serving both decorative and symbolic religious purposes.
  • C. The Lantern
    The Lantern is a track by the Rolling Stones from their 1967 psychedelic rock album "Their Satanic Majesties Request."
  • D. The Lamp Boy
    The Lamp Boy is a painting by Belgian expressionist James Ensor, reflecting his characteristic use of vivid color and eerie, introspective atmosphere.
  • E. Lanterns on the Lake
    Lanterns on the Lake is a British indie rock band known for its atmospheric, cinematic soundscapes and emotionally charged songwriting.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad99d50819090ddb7b546c65321 completed April 20, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c8a440c819089f0d90aacc640b5 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d95db488190b2ffafc7e0d874dc completed May 16, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a083e12d31481909295a5dc4e47b14b completed May 16, 2026, 9:51 a.m.
Created at: April 11, 2026, 11:37 p.m.